- Forest ecology and management
- Forest Management and Policy
- Rangeland and Wildlife Management
- Remote Sensing and LiDAR Applications
- Mobile Crowdsensing and Crowdsourcing
- Botany, Ecology, and Taxonomy Studies
- Energy Efficient Wireless Sensor Networks
- Forest Insect Ecology and Management
- Forest Ecology and Biodiversity Studies
- Ecology and Vegetation Dynamics Studies
- Fire effects on ecosystems
- Seedling growth and survival studies
- Botany and Plant Ecology Studies
- Remote Sensing in Agriculture
- Context-Aware Activity Recognition Systems
- Psychometric Methodologies and Testing
- Human Mobility and Location-Based Analysis
- Air Traffic Management and Optimization
- Privacy, Security, and Data Protection
- Land Use and Ecosystem Services
- Horticultural and Viticultural Research
- Smoking Behavior and Cessation
- Privacy-Preserving Technologies in Data
- Innovative Human-Technology Interaction
- Conservation, Biodiversity, and Resource Management
University of Washington
2025
University of California, Los Angeles
2011-2024
Craig Newmark Graduate School of Journalism at the City University of New York
2023-2024
Columbia University
2021-2024
University of the West of England
2023
Aalborg University
2022
École Nationale de l’Aviation Civile
2022
Skåne University Hospital
2021
University of California, Berkeley
2003-2020
US Forest Service
1999-2019
As mobile phones advance in functionality and capability, they are being used for more than just communication. Increasingly, these devices employed as instruments introspection into habits situations of individuals communities. Many the applications enabled by this new use rely on contextual information. The focus work is one dimension context, transportation mode an individual when outside. We create a convenient (no specific position orientation setting) classification system that uses...
AbstractThis article reviews the principle of minimum description length (MDL) for problems model selection. By viewing statistical modeling as a means generating descriptions observed data, MDL framework discriminates between competing models based on complexity each description. This approach began with Kolmogorov's theory algorithmic complexity, matured in literature information theory, and has recently received renewed attention within statistics community. Here we review both practical...
PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estimates of environmental impact and exposure. It an example important class emerging systems combine distributed processing capacity web with personal reach technology. This paper documents evaluates running PEIR system, which includes handset based GPS collection, server-side stages such as HMM-based activity...
Analysis of variance type models are considered for a regression function or the logarithm probability function, conditional density hazard spectral function. Polynomial splines used to model main effects, and their tensor products any interaction components that included. In special context survival analysis, baseline is modeled nonproportionality allowed. general, theory involves $L_2$ rate convergence fitted its components. The methodology least squares maximum likelihood estimation,...
This tutorial presents a detailed study of sensor faults that occur in deployed networks and systematic approach to model these faults. We begin by reviewing the fault detection literature for networks. draw from current literature, our own experience, data collected scientific deployments develop set commonly used features useful detecting diagnosing use this feature systematically define observed faults, provide examples each at recent deployments.
Embedded networked sensing, having successfully shifted from the lab to environment, is primed for a more contentious move city where citizens will likely be target of data collection. This transition warrant careful study and touch on issues that go far beyond scientific realm.
News media often leverage documents to find ideas for stories, while being critical of the frames and narratives present. Developing angles from a document such as press release is cognitively taxing process, in which journalists critically examine implicit meaning its claims. Informed by interviews with journalists, we developed AngleKindling, an interactive tool employs common sense reasoning large language models help explore reporting on release. In study 12 professional show that...
Abstract This paper argues that the gap between theoretical utility and practical of resource‐based view (RBV) may be narrowed by operationalizing theory more consistently with Penrose's original framework. The operationalization proposed here is a twofold approach. First, RBV enhanced explicit recognition two classes resources, namely, administrative resources productive resources. distinction suggests focus on decisions managers lead to economic performance. Second, we argue about...
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, browsing large sets images. Implemented as set web services with Adobe Flash-based user interface, it supports clustering by both image features context tags, well re-tagging images in interface. Though expected to be useful many applications, was designed analysis component DietSense, system under development at UCLA...
This research explores the effect of trust in relationships among members and between management teams two agricultural marketing cooperatives (co-ops). Specifically, this focuses on impact co-op members' performance, satisfaction, their commitment to remaining a part co-ops. We examine along dimensions: cognitive affective. argue that cognitive-based will be more salient some contexts while affective-based other settings. Findings suggest both co-ops, are important predictors group...
Three types of trust in economic exchanges are identified: weak form trust, semi-strong and strong trust. It is shown that can only be a source competitive advantage when competitors invest unnecessary expensive governance mechanisms. Semi-strong have differential exchange skills abilities, these abilities costly to imitate. The conditions under which also identified. Implications this analysis for theoretical empirical work strategic management discussed.
Data Management in the Worldwide Sensor Web W ith rapidly increasing number of large-scale sensor network deployments, vision a worldwide web is close to becoming reality.Ranging from camera networks that monitor large wildlife reserves biological sensors implanted body vital signs, these deployments generate tremendous volumes priceless data.Simply put, data raison d'être any sensing exercise.Most researchers would probably agree we have placed too much attention on networking distributed...
Full-information item bifactor analysis is an important statistical method in psychological and educational measurement. Current methods are limited to single-group inflexible the types of response models supported. We propose a flexible multiple-group framework that supports variety multidimensional theory for arbitrary mixing dichotomous, ordinal, nominal items. The extended model also enables estimation latent variable means variances when data from more than 1 group present. Generalized...
The rapid adoption of mobile devices that are able to capture and transmit a wide variety sensing modalities (media location) has enabled new data collection paradigm - participatory sensing. Participatory initiatives organize individuals gather sensed information using through cooperative collection. A major factor in the success these projects is sustained, high quality participation. However, since requires time energy commitment from individuals, incentives often introduced motivate...
In applications of item response theory, assessment model fit is a critical issue. Recently, limited‐information goodness‐of‐fit testing has received increased attention in the psychometrics literature. contrast to full‐information test statistics such as Pearson’s X 2 or likelihood ratio G , these tests utilize lower‐order marginal tables rather than full contingency table. A notable example Maydeu‐Olivares and colleagues’ M family based on univariate bivariate margins. When table sparse,...
The increasing ubiquity of the mobile phone is creating many opportunities for personal context sensing, and will result in massive databases individuals' sensitive information incorporating locations, movements, images, text annotations, even health data. In existing system architectures, users upload their raw (unprocessed or filtered) data streams directly to content-service providers have little control over once they "opt-in".
Monitoring of environmental phenomena with embedded networked sensing confronts the challenges both unpredictable variability in spatial distribution phenomena, coupled demands for a high sampling rate three dimensions. For example, low distortion mapping critical solar radiation properties forest environments may require two-dimensional rates greater than 10 samples/m2 over transects exceeding 1000 m2. Clearly, adequate coverage such transect requires an impractically large number nodes....
As mobile phones advance in functionality and capability, they are increasingly being used as instruments for personal monitoring. Applications developed that take advantage of the sensing capabilities - many have accelerometers, location capabilities, imagers, microphones to infer contextual information. We focus on one type context, transportation mode an individual, with goal creating a convenient (no requirement place sensors externally or specific position/orientation settings)...
Advances in mobile phone technology have allowed phones to become a convenient platform for real-time assessment of participants health and behavior. AndWellness, personal data collection system, uses collect analyze from both active, triggered user experience samples passive logging onboard environmental sensors. The system includes an application that runs on Android based phones, server software manages deployments acts as central repository data, dashboard front end researchers visualize...